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The objective of this paper is to estimate the compressor discharge temperature measurements on an industrial gas turbine that is undergoing commissioning at site, using a data-driven model which is built using the test bed measurements of the engine. This paper proposes a Bayesian neuro-fuzzy modelling (BNFM) approach, which combines the adaptive neuro-fuzzy inference system (ANFIS) and variational...
A novel two dimension direction-of-arrival (2D-DOA) estimation method for L-shaped array using atomic norm minimization based on the cross-correlation matrix is proposed in this paper. We first reconstruct the autocorrelation matrix of observed signals in the Toeplitz structure by cross-correlation matrix-based atomic norm minimization (CCMANM), and then employ the reconstructed autocorrelation matrix...
The downlink positioning method specified by 3GPP is a part of LTE location service. The method utilizes the time difference of Positioning Reference Signal (PRS) for ranging, therefore time delay estimation of PRS is a fundamental question in the method. A conventional algorithm relies on time correlation however faces challenges in multipath channel. For OFDM signal, Multiple Signal Classification...
A two-stage method for off-grid coherent direction-of-arrival (DOA) estimation using atomic norm minimization based on the covariance matrix is proposed in this paper. In the first stage, by vectorizing the covariance matrix, a new off-grid model matched as a linear combination of two dimensional harmonic is presented, where the proposed denoising covariance matrix-based atomic norm minimization (DCMANM)...
In industrial environments, it is often difficult and expensive to collect a good amount of data to adequately train expert systems for regression purposes. Therefore the usage of already available data, related to environments showing similar characteristics, could represent an effective approach to find a good balance between regression performance and the amount of data to gather for training....
In social network analysis, correlation estimation is a critical part for various applications. With the prevalence of location-based services, geographic information is incorporated as a new perspective to refer the interpersonal correlation. In this paper, we propose a novel multi-scale multi-feature collaborative learning model for robust location-based correlation estimation. Geographic attributes...
In social network, correlation estimation is a critical problem with promising application prospect. Numerical records of the interaction can serve as informative reflections of the correlation between users. However, due to the noise during data acquisition and storage as well as the privacy concern, the interaction data are usually partially observed. Moreover, even if the complete interaction is...
In this paper, we propose an adaptive template for semantic labeling of indoor scene objects and estimating their oriented bounding facets (OBFs). The proposed adaptive template encodes prior geometric information of objects based on statistics of the training images. Given an input image, we utilize the adaptive template on the detected bounding boxes to initialize the raw labeling and OBF estimation...
The 6-DOF (Degrees Of Freedom) image localization, which aims to calculate the spatial position and rotation of a camera, is a challenging task for location-based services. In existing approaches, this problem is often tackled by finding the matches between 2D image points and 3D structure points so as to derive the location information using direct linear transformation (DLT). However, these approaches...
In this paper, a new Attributed Scattering Center(ASC) feature extraction model is proposed. Together with normalization procedure, optimization of amplitude and the length of scattering center feature extraction, we can get a fine estimation of ASC parameter. The image reconstruction experiment demonstrates that with fewer scattering center can we get a satisfied description of SAR image. Moreover,...
In wireless radio communication, symbol rate estimation is very important to modulation signal recognizing, especially in soft radio and wireless sense network etc. Meanwhile, it is very difficult to get high correct rate of estimation. In this paper, we first change signal into pulse sequence and analyze its spectrum. Then wavelet transform is applied to deal with signal and arrive to spectrum pulse...
Stereology is an interdisciplinary method of mathematics and morphology, and is unbiased, quick, accurate, noninvasive, and has high reproducibility. It is widely used in radiation imaging and cell biology. In this paper, the confocal laser scanning microscopic images (CLSMI) of tumor cells of MCF-7 and B16/ GPR4 were quantitatively analyzed using stereological point counting method. 22 images of...
Weighted track fusion algorithm is a common algorithm in distributed system track fusion. How to allot the optimal weighting factors of local tracks is an issue of interest in weighted track fusion algorithm study. A dynamic weighted track fusion algorithm based on track comparability degree is proposed for track fusion in distributed multi-sensor tracking fusion system. The algorithm integrates measurement...
Automatic age estimation from facial images has aroused research interests in recent years due to its promising potential for some computer vision applications. Among the methods proposed to date, personalized age estimation methods generally outperform global age estimation methods by learning a separate age estimator for each person in the training data set. However, since typical age databases...
All the major citrus producing areas in China are facing the intensive competition from international market. The problem of how to find an efficient path to decrease citrus production cost by analyzing production cost of citrus and how to promote effective cooperation between regions to deal with the pressure of international market through integrating resources of the regions, has become an important...
From the figure above, we can come to conclusion that the 3D deterministic approach is still effective in strength estimation of the SOI in the case that several elements are missing, with a high accuracy. Furthermore, Forward-Backward method performs better than Forward and Backward method.
Taking the monthly data from July, 2005 to April 2008 as a specimen period, this paper uses panel data model to analyze the influences of RMB revaluation on import value of agricultural products of China's different import subjects. Demonstration result indicates that the economic growth of China stimulates the increasing of agricultural imports of the main import subjects; appreciation of real effective...
This article has estimated the stochastic frontier production function of grain farming through building a parallel data model. It has divided the growth source of grain output into factor input, technical progress and technical efficiency. The research indicates that the growth of the grain output in Hubei during the period from 1980-2005 mainly derived from agricultural technical, following was...
Function S-rough sets has dynamic characteristics and law characteristics. By employing function S-rough sets and the method of law generation, this paper proposes the concepts of attribute composition distribution and rough law distance. Then by using these concepts, this paper analyzes the relations between attribution composition distribution with rough law, moreover presents a series of theorems...
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